Limitations and Future Work. Searching from a graph-structured episodic memory takes much overhead in LeGEM. Scaling up LeGEM to complex OBMAS is our future direction. Recently, there is a growing interest in model-based planing [1]}. Leveraging LeGEM for model-based planning is also our future work. Our paper focuses on Dec-POMDP-based MARL methods. We leave it to future work for investigating off-beat actions in frameworks like Markov Game [2]} and MMDP [3]}. We are also interested in finding the merit of our method in real-world problem in our future work, such as scheduling [4]} with off-beat settings.
